
What happened
Snowflake released Snowflake Decision in private preview, called through AI_COMPLETE in Cortex AI Functions. It scored 57.63, the highest quality score among 72 models on the same 29 Jev Decision Index 0.2.1 benchmarks.
Why it matters
Snowflake says higher-quality decisions could mean more reliable classification, scoring and routing across high-volume workflows, such as support tickets and review analysis.
WHO IT HITSSnowflake customers running high-volume classification, scoring or routing workflows — such as support operations assigning tickets or product teams analyzing reviews — can request private preview access through their account team.
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Snowflake's decision model is meant for bounded, repeated questions — which category a record belongs to, how risky a transaction is, whether a ticket needs more work — rather than open-ended reasoning. The company has positioned it as another option in Cortex AI Functions, next to the general-purpose models already offered, and says it's suited to running across thousands of rows where speed and cost matter. In the vendor's own comparison, Snowflake Decision scored 57.63, ahead of the other 71 models on the same 29 benchmarks. Snowflake notes that current interface limits, such as a maximum of 32 options, kept it from running the full Hugging Face benchmark, and that every model's score was calculated from the same benchmark results using the index's published, chance-adjusted methodology.
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